Teaching Python Programming for Bioinformatics with Jupyter Notebook in the Post-COVID-19 Era
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| Titel: | Teaching Python Programming for Bioinformatics with Jupyter Notebook in the Post-COVID-19 Era |
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| Sprache: | English |
| Autoren: | Gupta, Yash Munnalal (ORCID |
| Quelle: | Biochemistry and Molecular Biology Education. Sep-Oct 2023 51(5):537-539. |
| Verfügbarkeit: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 3 |
| Publikationsdatum: | 2023 |
| Publikationsart: | Journal Articles Reports - Descriptive |
| Descriptors: | Programming Languages, Teaching Methods, Computer Software, Genetics, Laboratory Experiments, COVID-19, Pandemics, Biology, Information Science Education, Distance Education, Usability, Instructional Effectiveness |
| DOI: | 10.1002/bmb.21746 |
| ISSN: | 1470-8175 1539-3429 |
| Abstract: | The COVID-19 pandemic has forced the Bioinformatics course to switch from on-site teaching to remote learning. This shift has prompted a change in teaching methods and laboratory activities. Students need to have a basic understanding of DNA sequences and how to analyze them using custom scripts. To facilitate learning, we have modified the course to use Jupyter Notebook, which offers an alternative approach to writing custom scripts for basic DNA sequence analysis. This approach allows students to acquire the necessary skills while working remotely. It is a versatile and user-friendly platform that can be used to combine explanations, code, and results in a single document. This feature enables students to interact with the code and results, making the learning process more engaging and effective. Jupyter Notebook provides a hybrid approach to learning basic Python scripting and genomics that is effective for remote teaching and learning during the COVID-19 pandemic. |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| Dokumentencode: | EJ1395389 |
| Datenbank: | ERIC |
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Nájsť tento článok vo Web of Science | Abstract: | The COVID-19 pandemic has forced the Bioinformatics course to switch from on-site teaching to remote learning. This shift has prompted a change in teaching methods and laboratory activities. Students need to have a basic understanding of DNA sequences and how to analyze them using custom scripts. To facilitate learning, we have modified the course to use Jupyter Notebook, which offers an alternative approach to writing custom scripts for basic DNA sequence analysis. This approach allows students to acquire the necessary skills while working remotely. It is a versatile and user-friendly platform that can be used to combine explanations, code, and results in a single document. This feature enables students to interact with the code and results, making the learning process more engaging and effective. Jupyter Notebook provides a hybrid approach to learning basic Python scripting and genomics that is effective for remote teaching and learning during the COVID-19 pandemic. |
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| ISSN: | 1470-8175 1539-3429 |
| DOI: | 10.1002/bmb.21746 |